68 citations · 93 across the 39 of their papers we have counts for
12 papers · 1 filter
StabQ: Quantum Program Analysis via Weighted Stabilizer Representations
Shangzhou Xia, Junjie Luo, Jianjun Zhao
Quantum program analysis remains challenging due to the exponentially large state space of quantum programs and the difficulty of precisely characterizing their execution behavior.…
Branch and Bound for Relational Verification of Neural Networks
Kota Fukuda, Zhenya Zhang, Guanqin Zhang +1
Verification of neural networks against relational specifications, such as global robustness, is crucial for safety-critical applications of cyber-physical systems (CPS), given the…
Benchmarking Quantum Software Testing with Scalable Quantum Programs
Yuechen Li, Minqi Shao, Xiyuan Li +2
Quantum software testing (QST) checks whether quantum programs behave according to their intended specifications. A key requirement for QST research is a benchmark that supports ri…
Quantum vs. Classical Machine Learning: A Unified Empirical Comparison
Chuanming Yu, Jiaming Liu, Zihao Ge +4
Quantum computing has emerged as a promising computational paradigm for machine learning (ML), with the potential to offer computational advantages over classical approaches. At th…
Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement
Hengjie Liu, Zhenya Zhang, Jianjun Zhao
Formal verification of transformers has become increasingly important due to their widespread deployment in safety-critical applications. Compared to classic neural networks, the i…
Making Every Verified Token Count: Adaptive Verification for MoE Speculative Decoding
Lehan Pan, Ziyang Tao, Xiao Wang +3
Tree-based speculative decoding accelerates autoregressive generation by verifying multiple draft candidates in parallel, but this advantage weakens for sparse Mixture-of-Experts (…
QuanForge: A Mutation Testing Framework for Quantum Neural Networks
Minqi Shao, Shangzhou Xia, Jianjun Zhao
With the growing synergy between deep learning and quantum computing, Quantum Neural Networks (QNNs) have emerged as a promising paradigm by leveraging quantum parallelism and enta…
QSolver: A Quantum Constraint Solver
Shangzhou Xia, Haitao Fu, Jianjun Zhao
With the growing interest in quantum programs, ensuring their correctness is a fundamental challenge. Although constraint-solving techniques can overcome some limitations of tradit…
QEMI: A Quantum Software Stacks Testing Framework via Equivalence Modulo Inputs
Junjie Luo, Shangzhou Xia, Fuyuan Zhang +1
As quantum algorithms and hardware continue to evolve, ensuring the correctness of the quantum software stack (QSS) has become increasingly important. However, testing QSSes remain…
Software Testing in the Quantum World
Rui Abreu, Shaukat Ali, Paolo Arcaini +11
Quantum computing offers significant speedups for simulating physical, chemical, and biological systems, and for optimization and machine learning. As quantum software grows in com…
QSPE: Enumerating Skeletal Quantum Programs for Quantum Library Testing
Jiaming Ye, Fuyuan Zhang, Shangzhou Xia +4
The rapid advancement of quantum computing has led to the development of various quantum libraries, empowering compilation, simulation, and hardware backend interfaces. However, en…
A Methodological Analysis of Empirical Studies in Quantum Software Testing
Yuechen Li, Minqi Shao, Jianjun Zhao +1
In quantum software engineering (QSE), quantum software testing (QST) has attracted increasing attention as quantum software systems grow in scale and complexity. Since QST evaluat…